Performance Evaluation of Water Environment Treatment PPP Projects Based on Multisource Spatiotemporal Data Fusion
Publication: Journal of Infrastructure Systems
Volume 30, Issue 1
Abstract
The performance data of water environment treatment public–private partnership (PPP) projects have the characteristics of multiple data sources, diverse types, and difficulties in integration. Based on existing literature and the characteristics of water environment treatment projects, this study establishes a performance evaluation index system for water environment treatment PPP projects. To address the multitemporal performance data, the data similarity method is employed to integrate multiple time data, while an ordered weighted averaging (OWA) operator is used to integrate multiple spatial location data. For indicator weighting, the OWA operator and overweighted weighting method are applied to allocate weights. Lastly, the Dempster–Shafer (D-S) evidence theory is utilized to evaluate project performance and determine the level of project performance. This model is implemented in the Pingyu County water environment treatment PPP project, yielding an overall performance level of level II (better). Additionally, the model offers distinct performance levels for each indicator, with special purpose vehicle (SPV) company governance , water conservancy facilities , garden plants , and bridges all achieving level III (general). Future managers can concentrate on enhancing these indicators to improve project performance. The incorporation of this approach for integrating multiple spatiotemporal data in performance evaluation enhances the reliability of results and carries substantial practical implications for advancing the sustainable development of water environment governance PPP projects.
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Data Availability Statement
All data, models, and code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors acknowledge with gratitude the National Natural Science Foundation of China (Nos. 72271091 and 71974056), Key Science and Technology Projects in Henan Province (No. 232102321114), and Ministry of Education “Chunhui plan” cooperative scientific research project (No. HZKY20220268). This study would not have been possible without their financial support.
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Information & Authors
Information
Published In
Journal of Infrastructure Systems
Volume 30 • Issue 1 • March 2024
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Nov 16, 2022
Accepted: Sep 13, 2023
Published online: Oct 26, 2023
Published in print: Mar 1, 2024
Discussion open until: Mar 26, 2024
ASCE Technical Topics:
- Analysis (by type)
- Bibliographies
- Business management
- Construction engineering
- Construction management
- Engineering fundamentals
- Environmental engineering
- Hydrologic data
- Hydrologic engineering
- Hydrology
- Information management
- Practice and Profession
- Project management
- Public private partnership
- Spatial analysis
- Spatial data
- Water and water resources
- Water conservation
- Water management
- Water policy
- Water treatment
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